Title :
Methodologies and Performance Metrics to Evaluate Multiprogram Workloads
Author :
Selfa, Vicent ; Sahuquillo, Julio ; Gomez, Crispin ; Gomez, Maria E.
Author_Institution :
Univ. Polit`ecnica de Val`encia, Valencia, Spain
Abstract :
Multicore processors are dominating the microprocessor market and most research work has moved to this kind of processors. Multicore research methods are still immature and evolving from the single-threaded processor ounterparts. Three main research issues must be faced when evaluating performance and energy in multicores. First, multiple simulation methodologies are being applied to evaluate these systems, without being an agreement about which to use. Second, due to the nature of multiprogram workloads new performance metrics are required, different from those used in single-thread processors. Many metrics have been defined and distinct metrics are used across the published works. Finally, multicore processors are really complex systems which require from sophisticated and complementary (e.g. energy and performance) simulators. This paper pursues to help researchers face the three mentioned research issues. For this purpose, we compare these issues across 28 papers published in 2013 in top computer architecture conferences. Both analytical examples and experimental results are presented with the aim of providing some insights in multicore research.
Keywords :
microprocessor chips; multiprocessing programs; multiprocessing systems; performance evaluation; energy evaluation; microprocessor market; multicore processors; multicore research; multiple simulation methodologies; multiprogram workload evaluation; performance metrics; Benchmark testing; Hidden Markov models; Indexes; Measurement; Multicore processing; Program processors; Proposals; evaluation; methodologies; metrics; multicore; performance;
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on
Conference_Location :
Turku
DOI :
10.1109/PDP.2015.74